Marcha Verheijen

734 total citations · 1 hit paper
17 papers, 464 citations indexed

About

Marcha Verheijen is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Marcha Verheijen has authored 17 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Materials Chemistry. Recurrent topics in Marcha Verheijen's work include Metabolomics and Mass Spectrometry Studies (4 papers), MicroRNA in disease regulation (3 papers) and Gene expression and cancer classification (3 papers). Marcha Verheijen is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), MicroRNA in disease regulation (3 papers) and Gene expression and cancer classification (3 papers). Marcha Verheijen collaborates with scholars based in Netherlands, United Kingdom and United States. Marcha Verheijen's co-authors include Florian Caiment, Hans Gmuender, Ramona Nudischer, Yannick Schrooders, Olivia Clayton, Nathalie Selevsek, Ralph Schlapbach, Bernd Timmermann, Ralf Herwig and Matthias Lienhard and has published in prestigious journals such as Bioinformatics, Scientific Reports and Analytica Chimica Acta.

In The Last Decade

Marcha Verheijen

16 papers receiving 459 citations

Hit Papers

DMSO induces drastic changes in human cellular processes ... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marcha Verheijen Netherlands 9 188 53 52 44 41 17 464
Mark Tilley United Kingdom 4 260 1.4× 52 1.0× 73 1.4× 50 1.1× 74 1.8× 6 730
Eun Jin Lim South Korea 13 150 0.8× 49 0.9× 55 1.1× 36 0.8× 67 1.6× 23 602
Agnès Burel France 16 224 1.2× 46 0.9× 53 1.0× 21 0.5× 52 1.3× 34 647
Yannick Schrooders Netherlands 5 121 0.6× 49 0.9× 18 0.3× 41 0.9× 38 0.9× 7 366
Lenka Brůčková Czechia 13 131 0.7× 35 0.7× 31 0.6× 34 0.8× 66 1.6× 20 453
Ranjeet Kumar Sweden 13 176 0.9× 35 0.7× 12 0.2× 23 0.5× 40 1.0× 32 487
J Engelmann Germany 10 146 0.8× 30 0.6× 34 0.7× 33 0.8× 61 1.5× 15 585
Le Han China 16 371 2.0× 58 1.1× 66 1.3× 35 0.8× 22 0.5× 36 693
Yuri Sano Japan 10 379 2.0× 53 1.0× 118 2.3× 28 0.6× 23 0.6× 19 705
Runhong Lei China 13 153 0.8× 25 0.5× 24 0.5× 40 0.9× 95 2.3× 26 418

Countries citing papers authored by Marcha Verheijen

Since Specialization
Citations

This map shows the geographic impact of Marcha Verheijen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marcha Verheijen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcha Verheijen more than expected).

Fields of papers citing papers by Marcha Verheijen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcha Verheijen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marcha Verheijen. The network helps show where Marcha Verheijen may publish in the future.

Co-authorship network of co-authors of Marcha Verheijen

This figure shows the co-authorship network connecting the top 25 collaborators of Marcha Verheijen. A scholar is included among the top collaborators of Marcha Verheijen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marcha Verheijen. Marcha Verheijen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Undas, Anna K., Marcel van Herwijnen, Marcha Verheijen, et al.. (2025). E171-induced toxicity in human iPSC-derived colon organoids: Effects on cell viability, ROS generation, DNA damage, and gene expression changes. Toxicology in Vitro. 108. 106105–106105.
2.
Verheijen, Marcha. (2024). Psilocybin Therapy for Depression: A Review of Current Molecular Knowledge. 1(1). 1 indexed citations
3.
Quintás‐Cardama, Alfonso, Marcel van Herwijnen, Marcha Verheijen, et al.. (2024). The Development of a Non-Invasive Screening Method Based on Serum microRNAs to Quantify the Percentage of Liver Steatosis. Biomolecules. 14(11). 1423–1423. 2 indexed citations
4.
Kuligowski, Julia, Marta Moreno‐Torres, David Pérez-Guaita, et al.. (2023). Cluster-Partial Least Squares (c-PLS) regression analysis: Application to miRNA and metabolomic data. Analytica Chimica Acta. 1286. 342052–342052. 6 indexed citations
5.
Verheijen, Marcha, Matthew J. Meier, Timothy W. Gant, et al.. (2022). R-ODAF: Omics data analysis framework for regulatory application. Regulatory Toxicology and Pharmacology. 131. 105143–105143. 36 indexed citations
6.
Verheijen, Marcha, et al.. (2022). Predicting missing proteomics values using machine learning: Filling the gap using transcriptomics and other biological features. Computational and Structural Biotechnology Journal. 20. 2057–2069. 6 indexed citations
7.
Verheijen, Marcha, Mandy Melissa Jane Wittens, Sebastiaan Engelborghs, et al.. (2022). Lead-exposure associated miRNAs in humans and Alzheimer’s disease as potential biomarkers of the disease and disease processes. Scientific Reports. 12(1). 15966–15966. 16 indexed citations
8.
Verheijen, Marcha, Matthew J. Meier, Timothy W. Gant, et al.. (2022). P20-03 R-ODAF: an omics data analysis framework for regulatory application. Toxicology Letters. 368. S252–S252. 1 indexed citations
9.
Verheijen, Marcha, Julian Krauskopf, Florian Caiment, et al.. (2021). iPSC-derived cortical neurons to study sporadic Alzheimer disease: A transcriptome comparison with post-mortem brain samples. Toxicology Letters. 356. 89–99. 13 indexed citations
10.
Souza, Terezinha, Marcha Verheijen, Hans Gmuender, et al.. (2021). Translational Proteomics Analysis of Anthracycline-Induced Cardiotoxicity From Cardiac Microtissues to Human Heart Biopsies. Frontiers in Genetics. 12. 695625–695625. 15 indexed citations
11.
Verheijen, Marcha, Timothy W. Gant, Weida Tong, & Florian Caiment. (2021). R-ODAF: Omics data analysis framework for regulatory application. Toxicology Letters. 350. S124–S124. 2 indexed citations
12.
Gupta, Rajinder K., Yannick Schrooders, Marcha Verheijen, et al.. (2020). FuSe: a tool to move RNA-Seq analyses from chromosomal/gene loci to functional grouping of mRNA transcripts. Bioinformatics. 37(3). 375–381. 1 indexed citations
13.
Verheijen, Marcha, et al.. (2020). Towards the development of an omics data analysis framework. Regulatory Toxicology and Pharmacology. 112. 104621–104621. 14 indexed citations
14.
Verheijen, Marcha, Matthias Lienhard, Yannick Schrooders, et al.. (2019). DMSO induces drastic changes in human cellular processes and epigenetic landscape in vitro. Scientific Reports. 9(1). 4641–4641. 286 indexed citations breakdown →
15.
Verheijen, Marcha, Yannick Schrooders, Hans Gmuender, et al.. (2018). Bringing in vitro analysis closer to in vivo: Studying doxorubicin toxicity and associated mechanisms in 3D human microtissues with PBPK-based dose modelling. Toxicology Letters. 294. 184–192. 29 indexed citations
16.
Godschalk, Roger, Nicole Verhofstad, Marcha Verheijen, et al.. (2015). Effects of benzo[a]pyrene on mouse germ cells: heritable DNA mutation, testicular cell hypomethylation and their interaction with nucleotide excision repair. Toxicology Research. 4(3). 718–724. 15 indexed citations
17.
Krauskopf, Julian, Marcha Verheijen, Jos Kleinjans, Theo M. de Kok, & Florian Caiment. (2015). Development and Regulatory Application of Microrna Biomarkers. Biomarkers in Medicine. 9(11). 1137–1151. 21 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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